TITLE:
Dose Reduction by the Use of a Wavelet-Based Denoising Method for Digital Radiography
AUTHORS:
Haruyuki Watanabe, Du-Yih Tsai, Yongbum Lee, Eri Matsuyama
KEYWORDS:
Radiation Dose, Image Quality, Image Processing, Noise Reduction, Wavelet Transforms
JOURNAL NAME:
Health,
Vol.7 No.2,
February
15,
2015
ABSTRACT: The primary purpose of this paper is to provide a novel wavelet-domain method for digital radiography with low dose examination. Approach of this study is an improved wavelet-transform-based method for potentially reducing radiation dose while maintaining clinically acceptable image quality. The wavelet algorithm integrates the advantages of wavelet-coefficient-weighted method and the existing Bayes Shrink thresholding method. In order to confirm the usefulness of the proposed method, the resolving and noise characteristics of the processed computed radiography images were measured. In addition, variations of contrast and noise with respect to radiation dose were also examined. Finally, to verify the effect of clinical examination, visual evaluations were also performed in lower abdominal area using phantom. Our quantitative results demonstrated that our wavelet algorithm could improve resolution characteristics while keeping the noise level within acceptable limits. Visual evaluation result demonstrated that the proposed method was superior to other published methods. Our proposed method recognized effect on decreasing in exposure dose in lower abdominal radiographs. As a conclusion, our proposed method’s performance is better when compared with that of the 3 conventional methods. The proposed method has the potential to improve visibility in radiographs when a lower radiation dose is applied.